Stop building brittle LLM wrappers and start engineering production-grade autonomous agent networks.This hands-on guide takes you from fundamental Transformer mechanics to orchestrating multi-agent architectures under Kubernetes with Python. Step beyond basic prototypes to master graph-based orchestration, grammar-constrained outputs, LoRA fine-tuning, RAG, and MCP. Learn to navigate critical production trade-offs—model routing, quantization, cost control, prompt injection security, and human-in-the-loop monitoring—to deploy resilient, enterprise-ready AI systems.
"...magician knows magic only on its practical side... to him magic is always an art... It is for the philosophic student to trace the train of thought which underlies the magician’s practice..." - Frazer J. G., The Golden Bough
Stop copying code snippets into chat widgets. Master closed-loop autonomous AI coding agents, local offline LLMs (Ollama/Llama 3.1), event-driven lifecycle hooks, and Model Context Protocol (MCP) runtimes.
Explore the foundations and future of modern computing—from artificial intelligence and distributed systems to cybersecurity, quantum technologies, and responsible computing. Modern Computer Science connects essential concepts with emerging technologies, real-world applications, and the challenges shaping the future of the discipline.
AI doesn't fix a broken product development process — it amplifies whatever process you give it. Drawing on two decades of hardware leadership, this book is a field guide to making that amplification work in your favor, not against you.
Journey beyond the boundaries of the self, spiritual realization, and the infinite. Through twenty-four profound Sanskrit mantras and poetic English verses, this text systematically dismantles the illusions of duality to reveal the ultimate silence of pure existence. Surrender the spiritual search entirely and step into the effortless, unnamable void of infinite egolessness.
当"会做"被 AI 打到地板价,"想得清"成了最贵的资产。这本书给你一张表、一个循环、一份九十天清单。
Take control of your development stack from the ground up. This book shows you how to build and run your own Git hosting, CI/CD and engineering platform, from a single server to infrastructure built for thousands. Learn how the pieces fit together, why key decisions matter and where the trade-offs really are.
Learn JavaScript from the fundamentals to advanced concepts through clear explanations, practical examples, exercises, and real-world projects. Build your skills step by step and turn your ideas into working applications.
Building fast LLM systems takes more than a powerful GPU. This book shows you what actually happens between prompt and response, where latency hides and how to fix it. Work from kernels and inference engines to distributed clusters, benchmarking and production reliability, with practical guidance for building systems that stay fast under real-world load.
Master LTX 2.5 from the first prompt to the final shot. Learn to create cinematic video with synchronized audio, precise camera movement and consistent characters while avoiding the mistakes that waste time and generations. Built on official documentation and verified behavior, this is a practical guide to getting production-ready results from LTX 2.5.
Master applied offensive AI automation! Learn to design, code, harden, and deploy 24/7 continuous autonomous AI red teaming swarms using Python 3.10+, Playwright, hybrid LLM triage (Gemini & Ollama), OAST interaction verification, and Burp Suite Pro extensions.
Is the American era over? Explore the high cost of diplomatic hypocrisy and the rise of a multipolar world in this searing 2026 geopolitical analysis.
Move from using AI to building intelligent AI systems. ROY-OS² — Handbook 2: Agentic AI introduces the architecture, tools, workflows, memory, knowledge, MCP, multi-agent coordination, governance, and production principles required to build operational AI systems.
SIMD can make software dramatically faster, but getting it right takes more than knowing a few intrinsics. This book shows you how vectorization really works, how to avoid costly mistakes and how to turn ordinary code into fast, production-ready software with techniques you can use again and again.